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Python/compression
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CenTdemeern1 04698538d8
Misc fixes across multiple algorithms (#6912) 
Source: Snyk code quality
Add scikit-fuzzy to requirements

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
2022-10-16 10:55:38 +05:30
..
image_data Add __init__.py files in all the directories (#2503) 2020-09-28 19:42:36 +02:00
__init__.py Add __init__.py files in all the directories (#2503) 2020-09-28 19:42:36 +02:00
burrows_wheeler.py Add flake8 pluin flake8 bugbear to pre-commit (#7132) 2022-10-13 18:03:06 +02:00
huffman.py Misc fixes across multiple algorithms (#6912) 2022-10-16 10:55:38 +05:30
lempel_ziv_decompress.py Add pep8-naming to pre-commit hooks and fixes incorrect naming conventions (#7062) 2022-10-13 00:54:20 +02:00
lempel_ziv.py [mypy] annotate compression (#5570) 2021-10-26 12:29:27 +02:00
peak_signal_to_noise_ratio.py Add pep8-naming to pre-commit hooks and fixes incorrect naming conventions (#7062) 2022-10-13 00:54:20 +02:00
README.md Add README files 2/8 (#5766) 2021-11-11 21:39:54 +08:00
run_length_encoding.py Run length encoding (#6492) 2022-10-02 16:57:11 +02:00

README.md

Compression

Data compression is everywhere, you need it to store data without taking too much space. Either the compression lose some data (then we talk about lossy compression, such as .jpg) or it does not (and then it is lossless compression, such as .png)

Lossless compression is mainly used for archive purpose as it allow storing data without losing information about the file archived. On the other hand, lossy compression is used for transfer of file where quality isn't necessarily what is required (i.e: images on Twitter).